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Improvements To and Status of the Data Quality Health and Status System

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TLDR
The Atmospheric Radiation Measurement (ARM) Data Quality Office (DQO) has made a number of improvements and additions over the past year to its main tool for inspecting and assessing ARM data quality—the Data Quality Health and Status (D Q HandS) system.
Abstract
The Atmospheric Radiation Measurement (ARM) Data Quality Office (DQO) has made a number of improvements and additions over the past year to its main tool for inspecting and assessing ARM data quality—the Data Quality Health and Status (DQ HandS) system (http://dq.arm.gov/). Among the improvements and additions, some of which are shown below, are the inclusion of ARM Mobile Facility (AMF) data; a new plot browser to facilitate the viewing of DQ HandS diagnostic plots; an improved method for writing and databasing weekly data quality assessment reports; a new automated daily alert, an improved method for searching ARM report databases (see Doty and Wagener’s abstract in this proceeding); addition of more instrument and value-added products output, and creation of a development version of DQ HandS that allows the present system to become a true production tool.

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References
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Journal ArticleDOI

An Overview of ARM Program Climate Research Facility Data Quality Assurance

TL;DR: An overview of key aspects of the Atmospheric Radiation Measurement (ARM) Program Climate Research Facility (ACRF) data quality assurance program is presented in this article, where the role of value-added data processing and targeted field campaigns in speci- fying data quality and characterizing field measurements.
ReportDOI

Quality Assurance of ARM Program Climate Research Facility Data

TL;DR: The processes described in this report include instrument deployment and calibration; instrument and facility maintenance; data collection and processing infrastructure; data stream inspection and assessment; the roles of value-added data processing and field campaigns in specifying data quality and haracterizing the basic measurement.
Proceedings ArticleDOI

Visual Analytics Improving Data Understandability in IoT Projects: An Overview of the U. S. DOE ARM Program Data Science Tools

TL;DR: It is demonstrated how VA techniques can be applied in Data Science projects enabling users to reason over a dataset generated by IoT devices, what the authors call as Data Understandability.

Instrument Cross-Comparisons and Automated Quality Control of Atmospheric Radiation Measurement Data

TL;DR: Within the Atmospheric Radiation Measurement (ARM) instrument network, several different systems often measure the same quantity at the same site as mentioned in this paper, and they have been extended to the development of methods for automated quality control (QC) of ARM datastreams.